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For Companies At a Glance
- Tasks: Join our team to analyse risk and develop quantitative models in the energy trading sector.
- Company: We're a dynamic trader of Commodity and Energy products based in Central London.
- Benefits: Enjoy a hybrid work model and opportunities for professional growth in a thriving industry.
- Why this job: Be part of a growing business that values innovation and collaboration in the energy transition.
- Qualifications: Degree in a numerate subject with 4+ years in commodities trading and strong analytical skills required.
- Other info: Ideal for self-starters who thrive in fast-paced environments and love problem-solving.
The predicted salary is between 48000 - 72000 £ per year.
Job Description
Our client is a trader of Commodity and Energy products including, Gas, Power, LNG and Oil, based in Central London. They offer a unique chance to work within a growing and diversifying business, with a strong commercial appetite.
Working as part of the wider Commercial risk team, we are seeking a Quantitative minded professional with experience in the Power/Gas trading industry. The successful candidate will work closely with the traders, in hybrid role, look at both Quantitative Analysis, risk management and systems development.
ROLE RESPONSIBILTIES:
- Risk reporting – daily/weekly/monthly reporting of risk the business carries, develop holistic Risk reporting for department, e.g. VAR suite, Stress testing, consolidated exposure/risk reports.
- Actively run and support daily VAR process.
- Development of quantitative models for the evaluation of complex structured deals, support originators/traders in the development and implementation of trading strategies incorporating such models.
- Development and validation of quantitative models for use in transaction valuation and risk measurement within the Commercial Risk.
- Risk data management – Ensure data in Risk systems are accurate, complete and accessible.
- Risk Platform/System development: improve processes, systems and reporting from internal systems for Risk needs. Develop and support operationalisation of latest market technology.
- Price Analysis – time series analysis of prices/volatilities/correlations, support annual Audit review of company price and valuation data.
- Data handling – Provide data extract and manipulation for Risk Team and stakeholders.
- Develop collaborative relationship with key stakeholders across functions.
EDUCATION, SKILLS &EXPERIENCE REQUIRED:
- Degree level education in a numerate subject, preferably in Economics, Engineering, IT, Sciences, Maths
- Database (SQL) / coding / system knowledge and experience
- Commodities/Derivatives experience in trading organization, 4 years plus
- Proven quantitative and programmatic skills
- Database (SQL) / coding / system knowledge
- A strong grasp of mathematics a must with strong analytical skills
- Proven track record of developing and applying quantitative models to complex gas and/or power deals (e.g. gas storages, virtual power plants).
- Ability to think logically and problem solve is key
- Interest in commodities / traded markets / energy transition important
- Be a self-starter as well as a team player
- Willingness and ability to work and deliver on timelines
- Be diligent and dedicated to manage ad-hoc analysis and projects in a timely manner
Quantitative Risk & Data Analyst employer: RICHARD JAMES RECRUITMENT SPECIALISTS LTD
Contact Detail:
RICHARD JAMES RECRUITMENT SPECIALISTS LTD Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Quantitative Risk & Data Analyst
✨Tip Number 1
Familiarise yourself with the latest trends in the commodities and energy markets. Understanding current market dynamics will not only help you during interviews but also demonstrate your genuine interest in the field.
✨Tip Number 2
Network with professionals in the trading industry, especially those involved in quantitative risk analysis. Attend industry events or join relevant online forums to connect with potential colleagues and gain insights into the role.
✨Tip Number 3
Brush up on your SQL and programming skills, as these are crucial for the role. Consider working on personal projects or contributing to open-source projects that involve data analysis to showcase your abilities.
✨Tip Number 4
Prepare to discuss specific quantitative models you've developed or worked with in previous roles. Be ready to explain your thought process and how these models contributed to risk management or trading strategies.
We think you need these skills to ace Quantitative Risk & Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in quantitative analysis, risk management, and the commodities or energy trading sector. Use specific examples that demonstrate your skills in developing quantitative models and managing risk data.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your understanding of the trading environment and how your background aligns with the responsibilities outlined in the job description.
Highlight Technical Skills: Clearly outline your technical skills, especially in SQL, coding, and any relevant systems knowledge. Provide examples of how you've applied these skills in previous roles, particularly in relation to risk reporting and data management.
Showcase Problem-Solving Abilities: Include instances where you've successfully solved complex problems or developed innovative solutions in your previous roles. This is crucial for demonstrating your logical thinking and analytical skills, which are key for this position.
How to prepare for a job interview at RICHARD JAMES RECRUITMENT SPECIALISTS LTD
✨Showcase Your Quantitative Skills
Be prepared to discuss your experience with quantitative models and how you've applied them in previous roles. Highlight specific examples of complex deals you've worked on, especially in the gas or power trading sectors.
✨Demonstrate Your Technical Proficiency
Familiarise yourself with SQL and any relevant coding languages. Be ready to explain how you've used these skills in data management and system development, as this is crucial for the role.
✨Understand the Industry Landscape
Research current trends in the commodities and energy markets. Being able to discuss recent developments or challenges in the industry will show your genuine interest and understanding of the field.
✨Prepare for Problem-Solving Scenarios
Expect to face hypothetical scenarios that test your analytical and problem-solving abilities. Practice articulating your thought process clearly, as this will demonstrate your logical thinking and ability to tackle complex issues.
